从《乔家大院》看中国企业家

电视连续剧《乔家大院》讲述的是一个商界英雄的故事。该剧的主人公是山西祁县乔家堡著名商户“乔家”的第三代传人乔致庸。乔致庸的一生贯穿大清王朝的晚期,他以乔家这一晋商中的家族事业为舞台,怀抱以商救民、以商富国的梦想,为实现

西方激励理论在薪酬设计中的应用

西方的经典激励理论的实践和运用形式多种多样,其中一个很重要的方面就是体现在薪酬的设计和决策上。在进行薪酬设计时,考虑需求层次理论、ERG理论、双因素理论、公平理论和期望理论的作用,制订出有激励效果的薪酬体系,满足员工和企业的共同需要

SWOT analysis of CNPC purchased PK Company

近年来,越来越多的中国企业加快了海外并购的步伐,特别是由于全球范围内战略性资源的严重匮乏,使得各国的石油石化公司纷纷寻求海外市场,中石油正是在这样的背景下完成了对哈萨克斯坦石油公司的收购。本文通过对此案进行SWOT分析,详细阐述中石油收购的优劣势、机遇和挑战,为公司的制订进一步的战略计划提供信息,并且为更多的即将加入海外并购行列的中国企业提出建议。In recent years, more and more Chinese enterprises accelerate the pace of mergers and acquisitions overseas. Especially because of a serious lack of strategic resources in global scale, petrochemical companies all over the world walk out to seek overseas markets. It is in this context that CNPC completed the acquisition of the PK Company. Based on the SWOT analysis of the case, this article illustrates the strengths, weaknesses, opportunities and threats of purchasing oil in detail to further develop the company's strategic plan and provide information for more Chinese enterprises, which are preparing to join the ranks of overseas acquisition proposals soon

Study on IPO Motivation of Listed Companies on SME Board of China

从2004年第一家公司在我国中小企业板上市以来，中小企业板得到了飞速的发展。企业首次公开发行并上市是为了在证券市场进行融资，然而根据国外的学术研究，企业IPO的动机不仅仅如此。本文的选题动机正是探寻我国中小企业板上市公司的IPO动机。希望通过IPO动机的研究，为我国中小板的健康、可持续发展提供建议。 本文首先梳理国外相关企业IPO动机的理论和实证研究文献，归纳出主流的企业IPO动因以及相对应的财务现象，并且简要综述国内学术界关于中小板企业IPO的相关研究文献。在此基础上构建实证研究模型，分别采用描述性统计、极大似然估计的Probit模型和双向固定效应模型对我国企业IPO动机进行实证检验。最后...China's SME board has developed rapidly since the first company listed on SME board in 2004. One reason why these companies prefer to be listed in SME board is to finance. But according to academic studies abroad, there are many other IPO motivations. The purpose of this study is to explore the IPO motivation in the companies listed on SME board of China. By studying the IPO motivation, I hope to ...学位：管理学硕士院系专业：管理学院财务学系_财务学学号：1762008115141

Markov Switching Stochastic Volatility Model and Return Volatility

随机波动(StochasticVolatility，SV)模型被认为是模拟时变波动率的有效工 具。然而，如果波动过程存在状态的改变而被忽视时，该模型的持续性参数总是 被过度的估计。为了更好的解释波动持续性并且能够抓住波动过程的变化，人们 提出了马尔可夫体制转换随机波动模型(So，LamandLi(1998)，Smith(2002)， KalimipalliandSusmel(2004)，Hwang，Satchell，andPereira(2007)，Carvalhoand Lopes(2007)，RiosandLopes(2010))。 本文中，我们使用允许体制的改变发生在常系数项...Over the years stochastic volatility (SV) models have been considered a useful tool for modeling time-varying variances. However, the persistence could be overestimated if structural changes in the volatility process were ignored in the model. In order to explain volatility persistence and capture changes in volatility , people propose Markov switching stochastic volatility model (So, Lam and ...学位：理学硕士院系专业：数学科学学院数学与应用数学系_概率论与数理统计学号：1902009115224

从投资理财角度看农村资金短缺问题

对于农村问题,我们太专注于所谓的“大局”,而忽视了农民自身的问题。很多人都认为,造成农村非法博彩盛行的根本原因是精神文明与文化教育建设的问题,但对于农民来说,他们认为这是一种投资方式,是农村居民的现有理财方式。如果站在金融理财的角度来看的话,我们或许可以得到一些启示。造成农村投资理财现状的原因是多方面的,比如,农民整体素质不高,教育水平落后,投资意识薄弱等等。但是它造成的却是农村资金的不合理使用和资金的大量短缺。我们渴望寻求一种解决办法,通过改善农民投资理财现状去缓和农村资金短缺的问题以加强农村的基础设施建设

A VOICE ACTIVITY DETECTION METHOD BASED ON GMM

为了提高声音活动检测的鲁棒性,提出了一种基于gMM模型的声音活动检测方法。此方法在频谱特征空间中建立背景噪音和语音的gMM模型,然后采用模型匹配的方法对被测信号进行区分。此方法自适应更新gMM模型的参数,使之可以适应环境的变化。实验结果显示该方法在噪音环境中比传统的声音活动检测方法具有更高的准确率。To improve the robustness of the voice activity detection(VAD),a GMM-based approach for VAD has been proposed in this paper.With this method,two GMMs are constructed to model the noise and the speech respectively in spectrum feature space,and the signal frames to be detected are discriminated in the way of GMMs matching.This method is designed to self-adapt the GMM parameters' updating to accommodate environmental variation.Experimental results show that the proposed method generally performs better in accuracy than traditional VAD approaches in noisy environments.福建省自然科学基金项目(2006J0043

Improved method of adaptive weight FCM combining random field

传统模糊C均值的隶属度场利用了像素的单点灰度信息,有利于算法保留细节,但去噪能力较弱;而图像的gIbbS随机场较好地刻画了像素的空间分布,有利于算法去噪,但在保留细节方面较差。该文利用邻域信息,动态地判断像素可能所在的位置,对两种场的权重进行自适应调整,从而实现两种场的优势互补。实验表明,该文自适应加权算法在去除噪声的同时可以保留更多的细节。Membership field of traditional fuzzy C means algorithm consider gray information of single pixel only,which is beneficial to retain details but weak in denoising an image.On the other hands,Gibbs random field depicts the spatial distribution of pixels,which is beneficial to smooth noise but poor at retaining image details.Thus,an improved method is proposed to take advantages over the two algorithms respectively,which can automatically determine the possible location of a pixel and adjust the proportion of the two fields according to neighborhood information of a pixel.Experiments show that the improved algorithm can adjust the weight of two fields adaptively to remove the noise while preserving more details.福建省自然科学基金No.2008J0312;南京军区“十一五”计划课题项目;南京军区重点课题---

Fast and stable local bianry fitting approach for image segmentation

基于局部区域信息的局部二元拟合(lbf)模型在处理弱边界或灰度不均匀的图像分割方面有一定优势,但该方法非常依赖于初始轮廓,不当的初始轮廓不仅会导致分割时间较长,甚至分割失败。针对这一不足,提出一种快速稳定的lbf模型。首先通过添加带有变权系数面积项的lbf模型进行初始分类以获取较好的初始轮廓,然后采用传统的lbf模型对图像进行进一步的分割。实验证明,在保证良好分割效果的前提下,该方法对初始轮廓的选择更加灵活,分割速度明显快于传统的lbf模型。The Local Binary Fitting(LBF) model based on local region information has its certain advantages in image segmentation of weak boundary or uneven greay.But,the segmentation results are very sensitive to the initial contours,and improper initial contour can directly lead to segmentation failure.Thus,a fast and stable LBF approach was proposed.First,after adding the area item with variable weights to the traditional LBF model,better initial contour could be obtained than manual one.Second,the traditional LBF model would be used for further segmentation.The experimental results show that,under the precondition of preferable results,this method can not only get promising segmentation results with flexible initial contour selection,but also faster than the traditional LBF model.福建省自然科学基金项目资助项目(2008J0312);南京军区“十一五”计划项目(06MA99);南京军区重点项目(08Z021